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• W2012385794 abstract "In this paper, we propose a high performance algorithm for detecting human faces in a still image. Human faces help to communicate and interact in a better way that may be either in human-human interaction or human-machine interaction. The success points for our algorithm is the use of different individual algorithms along with the Unscented Kalman filter (UKF) process, as a novelty of our process. We have modified the algorithms as well. We used Viola Jones eye detector, skin color detector and the Haar cascade classifier for face detection process. Finally, we have conducted a benchmark test for our proposed algorithm using image databases of CMU-MIT, MIT training sets, INRIA Graz-01, and FDDB database. Then, we clarify its effectiveness using ROC curves." @default.
• W2012385794 created "2016-06-24" @default.
• W2012385794 creator A5004400678 @default.
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• W2012385794 date "2014-12-01" @default.
• W2012385794 modified "2023-09-25" @default.
• W2012385794 title "Proposing a high performance face detector based on UKF" @default.
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• W2012385794 doi "https://doi.org/10.1109/sii.2014.7028054" @default.
• W2012385794 hasPublicationYear "2014" @default.
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